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Transport Ridership — Numeric Row Ordering + Base-100 Series
x402
Transport Ridership — Numeric Row Ordering + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Assigns numeric row ordering and computes a Base-100 index series for passenger_count or service_count across up to 200 transport ridership records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series for supplied transport ridership records (passenger_count, service_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: (1) a numeric row ordering of the submitted ridership records, and (2) a Base-100 index series computed on the selected field (passenger_count or service_count), where the row at base_index is set to 100 and all other rows are expressed relative to it. Results are derived entirely from the supplied data with no external lookups.
Example use cases
Monthly ridership growth indexing
“I have 12 months of bus ridership data for three city regions — can you order the rows numerically and build a Base-100 series on passenger_count starting from January (base_index 0) so I can see how ridership has grown relative to that baseline?”
Service frequency baseline comparison
“I want to compare how service counts have changed across my transit routes over the past quarter — can you run the numeric row ordering and Base-100 index on service_count for my 50 rows of route data, anchoring the index at row 0?”
Regional ridership trend normalization
“I have ridership records for 5 different metro regions and I need to normalize passenger_count to a Base-100 series so I can compare trends across regions on the same scale — can you process all 80 rows starting the index at row 0?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-117?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to both sequence transport ridership records by row order AND produce a Base-100 normalized index series in a single API call. It is ideal for transit analysts who want to compare ridership or service trends relative to a starting baseline without building their own indexing logic. Prefer it over general analytics tools when working specifically with passenger_count and service_count data up to 200 rows and needing two bundled reports at a fixed low cost.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, region, date, passenger_count, service_count) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- base_index out of range (0–199) causes error
- Null values in the selected field may affect Base-100 calculation accuracy
- Submitting zero rows fails minItems constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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